• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

参与多种细胞程序的基因表达网络共存于单个肝癌细胞中。

Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells.

作者信息

Zhao Jin, Lu Ran, Jin Chen, Li Siying, Chen Yulin, Huang Qiaorong, Li Xue, Meng Wentong, Wu Hong, Wen Tianfu, Mo Xianming

机构信息

Department of Liver Surgery, Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Heliyon. 2023 Jul 17;9(7):e18305. doi: 10.1016/j.heliyon.2023.e18305. eCollection 2023 Jul.

DOI:10.1016/j.heliyon.2023.e18305
PMID:37539322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10393770/
Abstract

The gene expression networks of a single cell can be used to reveal cell type- and condition-specific patterns that account for cell states, cell identity, and its responses to environmental changes. We applied single cell sequencing datasets to define mRNA patterns and visualized potential cellular capacities among hepatocellular cancer cells. The expressing numbers and levels of genes were highly heterogenous among the cancer cells. The cellular characteristics were dependent strongly on the expressing numbers and levels of genes, especially oncogenes and anti-oncogenes, in an individual cancer cell. The transcriptional activations of oncogenes and anti-oncogenes were strongly linked to inherent multiple cellular programs, some of which oppose and contend against other processes, in a cancer cell. The gene expression networks of multiple cellular programs proliferation, differentiation, apoptosis, autophagy, epithelial-mesenchymal transition, ATP production, and neurogenesis coexisted in an individual cancer cell. The findings give rise a hypothesis that a cancer cell expresses balanced combinations of genes and undergoes a given biological process by rapidly transmuting gene expressing networks.

摘要

单个细胞的基因表达网络可用于揭示特定细胞类型和条件下的模式,这些模式决定了细胞状态、细胞身份及其对环境变化的反应。我们应用单细胞测序数据集来定义mRNA模式,并可视化肝细胞癌细胞之间的潜在细胞能力。癌细胞中基因的表达数量和水平高度异质。在单个癌细胞中,细胞特征强烈依赖于基因的表达数量和水平,尤其是癌基因和抑癌基因。癌基因和抑癌基因的转录激活与癌细胞中固有的多个细胞程序密切相关,其中一些程序与其他过程相互对立和竞争。多个细胞程序(增殖、分化、凋亡、自噬、上皮-间质转化、ATP产生和神经发生)的基因表达网络共存于单个癌细胞中。这些发现提出了一个假设,即癌细胞通过快速改变基因表达网络来表达基因的平衡组合,并经历特定的生物学过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/e5c6b56c1e45/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/a2344b1cf211/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/c79ced724706/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/f8153206ec71/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/3cb06297adde/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/4879b5232d90/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/2d0f733c93bc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/e48caf21aa76/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/cd5763d9ab28/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/e5c6b56c1e45/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/a2344b1cf211/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/c79ced724706/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/f8153206ec71/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/3cb06297adde/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/4879b5232d90/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/2d0f733c93bc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/e48caf21aa76/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/cd5763d9ab28/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca34/10393770/e5c6b56c1e45/gr8.jpg

相似文献

1
Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells.参与多种细胞程序的基因表达网络共存于单个肝癌细胞中。
Heliyon. 2023 Jul 17;9(7):e18305. doi: 10.1016/j.heliyon.2023.e18305. eCollection 2023 Jul.
2
The uncertainties and certainties of gene transcription in a human tumor cell.人类肿瘤细胞中基因转录的不确定性与确定性
Heliyon. 2024 Jul 31;10(15):e35529. doi: 10.1016/j.heliyon.2024.e35529. eCollection 2024 Aug 15.
3
Tumor dormancy, oncogene addiction, cellular senescence, and self-renewal programs.肿瘤休眠、致癌基因成瘾、细胞衰老和自我更新程序。
Adv Exp Med Biol. 2013;734:91-107. doi: 10.1007/978-1-4614-1445-2_6.
4
Integrating transcriptional and protein interaction networks to prioritize condition-specific master regulators.整合转录和蛋白质相互作用网络以确定条件特异性主调控因子的优先级。
BMC Syst Biol. 2015 Nov 14;9:80. doi: 10.1186/s12918-015-0228-1.
5
A lack of direct role of hepatitis B virus in the activation of ras and c-myc oncogenes in human hepatocellular carcinogenesis.在人类肝细胞癌发生过程中,乙肝病毒在激活ras和c-myc癌基因方面缺乏直接作用。
Hepatology. 1988 Sep-Oct;8(5):1116-20. doi: 10.1002/hep.1840080524.
6
Combined Transcriptome and Proteome Analysis of Immortalized Human Keratinocytes Expressing Human Papillomavirus 16 (HPV16) Oncogenes Reveals Novel Key Factors and Networks in HPV-Induced Carcinogenesis.HPV16 致癌基因表达的永生化人角质形成细胞的转录组和蛋白质组联合分析揭示了 HPV 诱导致癌中的新关键因素和网络。
mSphere. 2019 Mar 27;4(2):e00129-19. doi: 10.1128/mSphere.00129-19.
7
Oncogene addiction versus oncogene amnesia: perhaps more than just a bad habit?癌基因成瘾与癌基因遗忘:或许不仅仅是一种不良习惯?
Cancer Res. 2008 May 1;68(9):3081-6; discussion 3086. doi: 10.1158/0008-5472.CAN-07-5832.
8
Hepatocarcinogenic potential of the glucocorticoid antagonist RU486 in B6C3F1 mice: effect on apoptosis, expression of oncogenes and the tumor suppressor gene p53.糖皮质激素拮抗剂RU486对B6C3F1小鼠的肝癌致癌潜力:对细胞凋亡、癌基因表达及肿瘤抑制基因p53的影响
Mol Cancer. 2003 Jan 3;2:3. doi: 10.1186/1476-4598-2-3.
9
Induction of epithelial mesenchimal transition and vasculogenesis in the lenses of Dbl oncogene transgenic mice.Dbl 癌基因转基因小鼠晶状体中上皮间质转化和血管生成的诱导。
PLoS One. 2009 Sep 16;4(9):e7058. doi: 10.1371/journal.pone.0007058.
10
Antagonistic functional duality of cancer genes.癌症基因的拮抗功能双重性。
Gene. 2013 Oct 25;529(2):199-207. doi: 10.1016/j.gene.2013.07.047. Epub 2013 Aug 9.

引用本文的文献

1
The uncertainties and certainties of gene transcription in a human tumor cell.人类肿瘤细胞中基因转录的不确定性与确定性
Heliyon. 2024 Jul 31;10(15):e35529. doi: 10.1016/j.heliyon.2024.e35529. eCollection 2024 Aug 15.

本文引用的文献

1
Multiregional single-cell dissection of tumor and immune cells reveals stable lock-and-key features in liver cancer.多区域单细胞剖析肿瘤和免疫细胞揭示肝癌中稳定的锁钥特征。
Nat Commun. 2022 Dec 7;13(1):7533. doi: 10.1038/s41467-022-35291-5.
2
Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment.癌细胞状态在多种肿瘤类型中重现,并与肿瘤微环境形成特定的相互作用。
Nat Genet. 2022 Aug;54(8):1192-1201. doi: 10.1038/s41588-022-01141-9. Epub 2022 Aug 5.
3
Gata2, Nkx2-2 and Skor2 form a transcription factor network regulating development of a midbrain GABAergic neuron subtype with characteristics of REM-sleep regulatory neurons.
Gata2、Nkx2-2 和 Skor2 形成一个转录因子网络,调节具有 REM 睡眠调节神经元特征的中脑 GABA 能神经元亚型的发育。
Development. 2022 Jul 15;149(14). doi: 10.1242/dev.200937. Epub 2022 Jul 25.
4
Hallmarks of Cancer: New Dimensions.癌症的特征:新视角。
Cancer Discov. 2022 Jan;12(1):31-46. doi: 10.1158/2159-8290.CD-21-1059.
5
Deciphering functional tumor states at single-cell resolution.解析单细胞分辨率下的功能性肿瘤状态。
EMBO J. 2022 Dec 17;41(2):e109221. doi: 10.15252/embj.2021109221. Epub 2021 Dec 17.
6
Clinical Impact of Molecular Subtyping of Pancreatic Cancer.胰腺癌分子分型的临床影响
Front Cell Dev Biol. 2021 Nov 5;9:743908. doi: 10.3389/fcell.2021.743908. eCollection 2021.
7
Pancreatic cancer evolution and heterogeneity: integrating omics and clinical data.胰腺癌的演变与异质性:整合组学与临床数据
Nat Rev Cancer. 2022 Mar;22(3):131-142. doi: 10.1038/s41568-021-00418-1. Epub 2021 Nov 17.
8
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes.分析 2658 个人类癌症基因组中的遗传肿瘤内异质性。
Cell. 2021 Apr 15;184(8):2239-2254.e39. doi: 10.1016/j.cell.2021.03.009. Epub 2021 Apr 7.
9
Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing.通过单细胞测序鉴定复发性多发性骨髓瘤患者的耐药途径和治疗靶点。
Nat Med. 2021 Mar;27(3):491-503. doi: 10.1038/s41591-021-01232-w. Epub 2021 Feb 22.
10
Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma.早期复发肝细胞癌生态系统的单细胞景观。
Cell. 2021 Jan 21;184(2):404-421.e16. doi: 10.1016/j.cell.2020.11.041. Epub 2020 Dec 23.